Monday Daily Thread: Project ideas!

Posted by AutoModerator@reddit | Python | View on Reddit | 7 comments

Weekly Thread: Project Ideas 💡

Welcome to our weekly Project Ideas thread! Whether you're a newbie looking for a first project or an expert seeking a new challenge, this is the place for you.

How it Works:

Suggest a Project: Comment your project idea—be it beginner-friendly or advanced.
Build & Share: If you complete a project, reply to the original comment, share your experience, and attach your source code.
Explore: Looking for ideas? Check out Al Sweigart's "The Big Book of Small Python Projects" for inspiration.

Guidelines:

Clearly state the difficulty level.
Provide a brief description and, if possible, outline the tech stack.
Feel free to link to tutorials or resources that might help.

Example Submissions:

Project Idea: Chatbot

Difficulty: Intermediate

Tech Stack: Python, NLP, Flask/FastAPI/Litestar

Description: Create a chatbot that can answer FAQs for a website.

Resources: Building a Chatbot with Python

Project Idea: Weather Dashboard

Difficulty: Beginner

Tech Stack: HTML, CSS, JavaScript, API

Description: Build a dashboard that displays real-time weather information using a weather API.

Resources: Weather API Tutorial

Project Idea: File Organizer

Difficulty: Beginner

Tech Stack: Python, File I/O

Description: Create a script that organizes files in a directory into sub-folders based on file type.

Resources: Automate the Boring Stuff: Organizing Files

Let's help each other grow. Happy coding! 🌟

Project idea: Code from Screenshots

Difficulty: begginer - intermediate

Tech Stack: Tesseract, Watchdog, Pillow/OpenCV, etc.

Description: create a script that capture the source code from an image or video screenshots, and try to patch its result: restore tabulation, change wrong characters, and other stuff. Then automate the proccess using cronjobs or watchdog, detecting new screenshots in a folder and processing the data in background, and saving code in text files in example. Ideally the process should start with the user session or the system start.

Resources: using Tesseract OCR and its Python wrapper to detect single text from image file.

Hey, Tired of writing a scraper, running it, and getting a 403 because you didn't know the site uses DataDome? Or wasting hours before realizing the site needs JS to render? I built scrapalyser to solve exactly that. **What My Project Does** scrapalyser is a Python library that scans any website BEFORE you start scraping it. One call tells you everything you need to know: pip install scrapalyser import scrapalyser report = scrapalyser.scan("https://example.com", output="txt", lang="en") It detects: - 🛡️ Anti-bot (Cloudflare, DataDome, PerimeterX, Akamai, Kasada, reCAPTCHA, hCaptcha) - 🖥️ Technology (React, Next.js, Vue, WordPress, Shopify...) - ⚡ Whether JS is required or not - 🌐 API endpoints (via CSP headers, inline scripts, or XHR interception with Playwright) - 🤖 robots.txt & sitemap - 🔐 Login wall (form, redirect, OAuth) - 📸 Screenshot (Playwright mode) If the site blocks you with a 403 or captcha page, all fields return "blocked by antibot" so you know immediately what you're up against. Two engines: curl_cffi (fast, no browser) or playwright (full browser, XHR interception). **Target Audience** Python developers who write scrapers and want to understand a target website's defenses and architecture before investing time building a scraper. Production-ready. **Comparison** - **scrapy / requests / playwright** — these are scraping tools, not recon tools. They don't tell you what's protecting a site before you hit it. - **Wappalyzer** — detects tech stack only, no antibot, no API discovery, no JS check. - **whatruns / builtwith** — browser extensions, not scriptable, no antibot detection. scrapalyser is the only pip-installable tool focused purely on pre-scraping reconnaissance. GitHub: https://github.com/codesme34/scrapalyser PyPI: https://pypi.org/project/scrapalyser/ YouTube (french): https://www.youtube.com/@CodesMe Feedback welcome!

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Alejrot@reddit

Proof_Resource7669@reddit

i've been running Qoest Proxy's rotating residential ips for a few months and this would've saved me so much time on sites that randomly swap between datadome and cloudflare, nice work packaging it up properly

letsbecomeafriends@reddit

I’ve been working on a project called SysHealerAI bc I wanted to automate the linux troubleshooting. It’s a simple Python-based tool that monitors system logs and uses an OpenAI API to generate bash script to fix it.

The project is open-source and I’m at the stage where I need some real-user feedback :) If you have a minute to check out the repo or run a quick test on your system, I’d really appreciate it!

Any questions are welcome.

You can find the code and instructions here: https://github.com/aeonist/syshealer-ai

P. S. About safety, it is pretty safe, bc requires plenty of confirmations before running the script, you can always doublecheck it. I guess it’s really flexible. Thanks!

P. P. S. Actually the fact it’s a study project made me use Postgres instead of SQLite, don’t know if this matters.

It was that nothing actually held together.

You try things. They work for a bit. Then you switch, restart, or lose momentum.

So instead of adding more tools (or even more AI on top), I started focusing on how everything connects:

idea → offer → workflow → validation → iteration

The AI part is there, but more as infrastructure — not the main thing.

Still early, but that’s the direction I’ve been exploring.